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黄河流域城市群生态效率评价及归因分析

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黄河流域城市群是黄河流域生态保护和高质量发展的重要载体,提高黄河流域城市群生态效率有利于提升其绿色经济发展水平.基于城市群视角,利用超效率SBM模型测度黄河流域七大城市群60个城市2006-2020年的生态效率值,借助Dagum基尼指数进行区域差异性分析,进一步通过面板分位数模型识别影响城市群生态效率的主要因素.结果表明:①黄河流域地区及各城市群生态效率明显改善,呼包鄂榆城市群和宁夏沿黄城市群生态效率水平最高,而中原城市群和兰西城市群生态效率水平最低;②黄河流域生态效率空间分布格局由"低值区抱团分布、高值区离散分布"转变为高值区和低值区"小集聚、大分散"的交叉分布格局;③七大城市群总体差异缩小,组间差异和超变密度是总体差异的主要来源;④产业结构、人口密度、对外开放水平制约了城市群生态效率的发展,而经济发展水平、技术进步与生态效率呈正相关关系.
Ecological efficiency evaluation and attribution analysis of urban agglomerations in the Yellow River Basin
The urban agglomerations in the Yellow River Basin play a crucial role in preserving the environ-ment and fostering high-quality development in this area.Improving the eco-efficiency of these urban agglom-erations has the potential to boost their green economic growth.We approached this from the perspective of ur-ban agglomerations and used the super-SBM model to assess the ecological efficiency of 60 cities across seven urban agglomerations in the Yellow River Basin from 2006 to 2020.Afterward,we analyzed regional differ-ences using the Dagum Gini index and identified the key factors affecting the ecological efficiency of urban ag-glomerations through the panel quantile model.The results are as follows:① Eco-efficiency has significantly improved throughout the Yellow River Basin,including all urban agglomerations.The Hu-bao-Eyu urban ag-glomeration and the Ningxia urban agglomeration along the Yellow River exhibited the highest eco-efficiency levels,while the Central Plains urban agglomeration and the Lanxi urban agglomeration showed the lowest eco-efficiency levels.② The spatial distribution of eco-efficiency in the Yellow River Basin has shifted from a"clustered distribution in low-value areas,discrete distribution in high-value areas"to a"cross-distribution pattern with small clusters and large dispersion of high-value areas and low-value areas".③ Overall dispari-ties among the seven major urban agglomerations have decreased.The primary contributors to these differences are disparities between groups and Hypervariable density.④ Industrial structure,population density,and openness levels constrain the ecological efficiency of urban agglomerations.In contrast,economic development levels and technological progress are positively correlated with ecological efficiency.

ecological efficiencysuper-SBM modelDagum Gini indexpanel quantile regressionYellow River Basin

刘虹、雷敏、杨晨、江星月、郑清

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西北大学城市与环境学院,陕西西安 710127

生态效率 超效率SBM模型 Dagum基尼指数 面板分位数回归 黄河流域

国家自然科学基金

42171197

2024

西北大学学报(自然科学版)
西北大学

西北大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.35
ISSN:1000-274X
年,卷(期):2024.54(3)
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